A Data-Efficient Building Electricity Load Forecasting Method Based on Maximum Mean Discrepancy and...
A Data-Efficient Building Electricity Load Forecasting Method Based on Maximum Mean Discrepancy and Improved TrAdaBoost Algorithm
About this item
Full title
Author / Creator
Li, Kangji , Wei, Borui , Tang, Qianqian and Liu, Yufei
Publisher
Basel: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Basel: MDPI AG
Subjects
More information
Scope and Contents
Contents
Building electricity load forecasting plays an important role in building energy management, peak demand and power grid security. In the past two decades, a large number of data-driven models have been applied to building and larger-scale energy consumption predictions. Although these models have been successful in specific cases, their performance...
Alternative Titles
Full title
A Data-Efficient Building Electricity Load Forecasting Method Based on Maximum Mean Discrepancy and Improved TrAdaBoost Algorithm
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_0f0524d223494a14aa6a3ac80958b3b7
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_0f0524d223494a14aa6a3ac80958b3b7
Other Identifiers
ISSN
1996-1073
E-ISSN
1996-1073
DOI
10.3390/en15238780
